Texture contrast based salient region detection

Jingci Xu; Fengxia Li; Sanyuan Zhao

doi:10.1109/ICVRV.2015.46

Texture contrast based salient region detection

Jingci Xu, Fengxia Li, Sanyuan Zhao

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

As one of the basic properties of image, texture undoubtedly affect the image saliency. We introduce a texture contrast based salient region detection method, which first divide an input image into several nearly uniform super pixels, then analyze the texture feature and calculate the texture differences between regions to detect salient region. In order to obtain a better saliency map, we also optimize our method with hierarchical image fusion. Our experimental results demonstrate that the obtained saliency map generated by our method is clear and have better precision and recall ratio compared with traditional methods.

Original language	English
Title of host publication	Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015
Editors	Zhong Zhou, Weiliang Meng, Junfeng Yao, Xiaopeng Zhang, Xun Luo
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	85-88
Number of pages	4
ISBN (Electronic)	9781467376730
DOIs	https://doi.org/10.1109/ICVRV.2015.46
Publication status	Published - 9 May 2016
Event	5th International Conference on Virtual Reality and Visualization, ICVRV 2015 - Xiamen, Fujian, China Duration: 17 Oct 2015 → 18 Oct 2015

Publication series

Name	Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015

Conference

Conference	5th International Conference on Virtual Reality and Visualization, ICVRV 2015
Country/Territory	China
City	Xiamen, Fujian
Period	17/10/15 → 18/10/15

Keywords

Hierarchical image fusion
Salient region detection
Texture contrast

Access to Document

10.1109/ICVRV.2015.46

Cite this

Xu, J., Li, F., & Zhao, S. (2016). Texture contrast based salient region detection. In Z. Zhou, W. Meng, J. Yao, X. Zhang, & X. Luo (Eds.), Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015 (pp. 85-88). Article 7467217 (Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICVRV.2015.46

Xu, Jingci ; Li, Fengxia ; Zhao, Sanyuan. / Texture contrast based salient region detection. Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015. editor / Zhong Zhou ; Weiliang Meng ; Junfeng Yao ; Xiaopeng Zhang ; Xun Luo. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 85-88 (Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015).

@inproceedings{f74fe0a0acf04b75a037269e8e19a661,

title = "Texture contrast based salient region detection",

abstract = "As one of the basic properties of image, texture undoubtedly affect the image saliency. We introduce a texture contrast based salient region detection method, which first divide an input image into several nearly uniform super pixels, then analyze the texture feature and calculate the texture differences between regions to detect salient region. In order to obtain a better saliency map, we also optimize our method with hierarchical image fusion. Our experimental results demonstrate that the obtained saliency map generated by our method is clear and have better precision and recall ratio compared with traditional methods.",

keywords = "Hierarchical image fusion, Salient region detection, Texture contrast",

author = "Jingci Xu and Fengxia Li and Sanyuan Zhao",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th International Conference on Virtual Reality and Visualization, ICVRV 2015 ; Conference date: 17-10-2015 Through 18-10-2015",

year = "2016",

month = may,

day = "9",

doi = "10.1109/ICVRV.2015.46",

language = "English",

series = "Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "85--88",

editor = "Zhong Zhou and Weiliang Meng and Junfeng Yao and Xiaopeng Zhang and Xun Luo",

booktitle = "Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015",

address = "United States",

}

Xu, J, Li, F & Zhao, S 2016, Texture contrast based salient region detection. in Z Zhou, W Meng, J Yao, X Zhang & X Luo (eds), Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015., 7467217, Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015, Institute of Electrical and Electronics Engineers Inc., pp. 85-88, 5th International Conference on Virtual Reality and Visualization, ICVRV 2015, Xiamen, Fujian, China, 17/10/15. https://doi.org/10.1109/ICVRV.2015.46

Texture contrast based salient region detection. / Xu, Jingci; Li, Fengxia; Zhao, Sanyuan.
Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015. ed. / Zhong Zhou; Weiliang Meng; Junfeng Yao; Xiaopeng Zhang; Xun Luo. Institute of Electrical and Electronics Engineers Inc., 2016. p. 85-88 7467217 (Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Texture contrast based salient region detection

AU - Xu, Jingci

AU - Li, Fengxia

AU - Zhao, Sanyuan

PY - 2016/5/9

Y1 - 2016/5/9

N2 - As one of the basic properties of image, texture undoubtedly affect the image saliency. We introduce a texture contrast based salient region detection method, which first divide an input image into several nearly uniform super pixels, then analyze the texture feature and calculate the texture differences between regions to detect salient region. In order to obtain a better saliency map, we also optimize our method with hierarchical image fusion. Our experimental results demonstrate that the obtained saliency map generated by our method is clear and have better precision and recall ratio compared with traditional methods.

AB - As one of the basic properties of image, texture undoubtedly affect the image saliency. We introduce a texture contrast based salient region detection method, which first divide an input image into several nearly uniform super pixels, then analyze the texture feature and calculate the texture differences between regions to detect salient region. In order to obtain a better saliency map, we also optimize our method with hierarchical image fusion. Our experimental results demonstrate that the obtained saliency map generated by our method is clear and have better precision and recall ratio compared with traditional methods.

KW - Hierarchical image fusion

KW - Salient region detection

KW - Texture contrast

UR - http://www.scopus.com/inward/record.url?scp=84978511603&partnerID=8YFLogxK

U2 - 10.1109/ICVRV.2015.46

DO - 10.1109/ICVRV.2015.46

M3 - Conference contribution

AN - SCOPUS:84978511603

T3 - Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015

SP - 85

EP - 88

BT - Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015

A2 - Zhou, Zhong

A2 - Meng, Weiliang

A2 - Yao, Junfeng

A2 - Zhang, Xiaopeng

A2 - Luo, Xun

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Virtual Reality and Visualization, ICVRV 2015

Y2 - 17 October 2015 through 18 October 2015

ER -

Xu J, Li F, Zhao S. Texture contrast based salient region detection. In Zhou Z, Meng W, Yao J, Zhang X, Luo X, editors, Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 85-88. 7467217. (Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015). doi: 10.1109/ICVRV.2015.46

Texture contrast based salient region detection

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